Prediction Brazilian’s Information Science Future Co-Authorships

Resumo

When publishing a work together with other scientists, a connection is formed by the colla-
boration done. Papers written together represent the edges, and the authors represent the nodes of the

network. By using the concepts of social network analysis, it is possible to better understand the relati-
onship between these nodes. At this point, the following question arises: ”How does the evolution of the

network occur over time?”. In order to answer this question, it is necessary to understand how two nodes

interact with one another, that is, what factors are essential for a new connection to be created. The pur-
pose of this paper is to predict connections in co-authorship networks formed by doctors with resumes

registered in the Lattes Platform in the area of Information Sciences. Currently, the Lattes Platform has
6.1 million resumes from researchers and represents one of the most relevant and recognized scientific

repositories worldwide. With this, it will be possible to understand the behavior of the network and mo-
nitor its evolution over time. Through this study, it will also be possible to identify the researchers who

can collaborate in a future moment of time. To this end, recommendation systems will be used, these
represent a specific approach to the concepts of machine learning. Through the use of this technique it is
possible to understand which attributes of the nodes make them closer to each other, and therefore have
a greater chance of creating a connection between them in the future. This work is extremely relevant
because it uses a data set that has been little used in previous studies. Through the results it will be
possible to establish the evolution of the network of scientific collaborations of researchers at national
level, thus helping the development agencies in the selection of future outstanding researchers.